In this tutorial, we will build a chatbot based on the Retrieval Augmented Context generation technique. Amazon OpenSearch Serverless is used as the vector database, Amazon Titan is used for generating text embeddings and as an LLM, and Amazon Bedrock API is used for invoking the Titan model.
In part 1, we provision a collection in Amazon OpenSearch Serverless to store the text embeddings that we create in the next step.
Source is available at github.com/janakiramm/rag-bed...
Негізгі бет Ғылым және технология Implementing RAG with Amazon Bedrock and Amazon Titan - Part 1
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